Python Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used Python
Jan Miltner
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
David Onaiyekan
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Amir Alinaghi
Last position:
Master's Thesis at Friedrich-Alexander University
- Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
- Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
- Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
- Conducted robustness checks to ensure stability and validity of the results.
Partha Nandi
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Rolf Wendolsky
Last position:
Agile Consultant at Lead.ai
- Introduction of Agile-CCPM in an IT project agency with a focus on PHP-based content management systems.
- Preparation and facilitation of workshops to establish a cross-agency multi-project management system.
- Coordination and support of the agency partners.
- Coaching of the methodological framework.
- Collection, evaluation, and use of organizational metrics to plan next steps.
- Environment: OKR, CCPM, Agile Coaching, Agile Planning, Agile Metrics, Workshops, Facilitation, Change Management, JIRA, Zoom, Slack, Miro.
Michael Fecher
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Vladimir Ergovic
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Marius Toader
Last position:
Senior IT Project and Process Manager at Sunnic Lighthouse GmbH
Thorough process analysis to identify weaknesses and assess optimization potential
Precise modeling of business processes using BPMN 2.0
Creation of detailed requirements and functional specifications to document use cases
Comprehensive gathering of existing company processes
In-depth process analyses to uncover potentials
Moderation and facilitation of workshops with subject matter experts and executives
Taking on project management for selecting and implementing a new ETRM system environment
Benjamin Schötz
Last position:
CRM strategy & requirements analysis for marketing campaigns in the automotive sector at AUDI AG
- Development of strategies, processes and system requirements to further develop the lead and campaign streams of a Salesforce system for the subsystems Sales Cloud, Marketing Cloud and Analytics Cloud
- Gathering and creation of marketing strategy concepts for direct sales, focusing on lead generation for new and existing customers
- Analysis and optimization of existing and new contact points
- Derivation of system requirements and user tests for new developments
- Establishment of a requirements and implementation process for business needs at the interface between CRM strategy and marketing system operations
- Facilitation of ideation workshops with the project's stakeholders
- Mediation between business and technical project stakeholders
- Analysis and post-documentation of existing marketing strategies and the system functions already created for them
- Analysis of target groups and pre-system data quality as a foundation for new CRM strategies
- Consultation on content and asset strategy for marketing campaigns
- Definition of KPIs and other performance criteria for the system and CRM strategy
Michael Eilers
Last position:
Software Developer at Continental
- Supported a telematics component in the automotive sector with SELinux and open-source license management.
- Products: SELinux, iMX8, ScanCode.
- Skills: Linux, firmware development, Python.
Arun Sai Thunga
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Tobias Von Dewitz
Last position:
Managing Partner at Unwritten GmbH
- Pioneer work in personalized AI: development of a framework for “Interactive Content” (RAG) for novels, lectures, expert debriefing
- Successful launch of Einbug, the Pantopia chatbot, with media resonance (SZ interview)
- Creation of compelling AI personalities: AI blog ([link]), 100% personalized learning environments, Perry Rhodan, and others.
Elnazossadat Hosseininia
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Leif Stolberg
Last position:
Software Architect at QualityMinds GmbH
- Lead software architect and technical team lead for a new logistics platform for load carrier trade
- Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
- Evaluation of initial business requirements and software development roadmap
- Technical team lead in a Scrum team of 9 people
- Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 16 years)
Position duration
1.7 years (Germany: 5.1 years)
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
97% (Germany: 94%)
Master's degree or higher
80% (Germany: 69%)
Doctorate
3% (Germany: 12%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
English, German, French
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Nuremberg using Python
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What Python fits
Python is a general-purpose language for backend services, automation, data work, scripting, and machine learning. Companies use it to build APIs, internal tools, ETL jobs, prototypes, and production systems that need readable code and a broad library ecosystem.
Common stack
- Web work with Django, FastAPI, Flask, and SQLAlchemy
- Data work with pandas, NumPy, Jupyter, and Airflow
- Testing and delivery with pytest, Poetry, pip, Docker, and CI
- Integration with REST, GraphQL, queues, cloud services, and databases
When to hire
Bring in freelance Python professionals when you need to ship quickly, replace brittle scripts, or extend an existing codebase without slowing the team down. They also help when a product needs clean API design, background jobs, data cleanup, or support during a peak delivery phase.
What strong specialists do
Good Python specialists write code that is simple to read, easy to test, and safe to maintain. They choose the right framework for the job, understand packaging and dependency management, and handle performance issues, logging, and error handling without adding noise.
Typical deliverables
- API services and backend features
- Automation for reports, imports, and scheduled tasks
- Data processing notebooks, pipelines, and models
- Refactors, bug fixes, and test coverage for older Python code
Nuremberg projects
In Nuremberg, Python expertise is a fit for industry suppliers, software teams, and internal IT groups that need dependable integrations and data flow. Hybrid or remote collaboration is common, but on-site work can help when a project involves close alignment with local stakeholders, German-language documentation, or legacy systems.
Frequently asked questions
Need clarity? These are the questions we hear most often about Python.
Companies use Python for backend services, workflow automation, data processing, analytics, machine learning, and quick internal tools. It is also common for scripts that connect systems, move data, or replace manual work.
A strong Python choice is about speed of delivery and a large ecosystem for data and automation. Compared with JavaScript, it is often cleaner for backend and data tasks; compared with Java or Go, it is usually faster to prototype and easier to read for small teams.
A good Python specialist usually works with Django or FastAPI for web services, pytest for testing, and pandas or NumPy for data work. For production delivery, knowledge of Docker, SQL, Git, and package management matters just as much as the language itself.
It depends on the codebase. A small script or API extension may only need a focused Python professional, while a larger platform needs someone who understands architecture, testing, deployment, and maintainability. The real test is whether the specialist can work safely inside your existing stack.
Yes, Python work is often a good fit for remote collaboration because the codebase, tests, and reviews can be shared easily. For teams in Nuremberg, remote support is common, but on-site workshops can help when requirements are unclear or several systems need to be mapped first.
Look for clear code, good tests, sensible structure, and practical decisions around dependencies and error handling. A strong Python freelancer can explain trade-offs, show relevant shipped work, and improve an existing codebase without rewriting everything.
It is strong in both, but Python is especially valued when web services and data workflows meet. That is why it shows up in APIs, ETL pipelines, notebooks, automation, and machine learning projects that need the same language across the stack.
Prepare the goal, the current codebase, the systems it must connect to, and any quality rules such as tests or deployment constraints. The best Python professionals can start faster when they see sample data, access details, and the business outcome you need.
The average hourly rate of freelancers in Nuremberg, Germany who have used Python in their recent projects is 78 €, which corresponds to a daily rate of about 620 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Python in their recent projects, 97% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 3% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Python in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Nuremberg, Germany who have used Python in their recent projects are English (100%), German (97%), and French (16%).
The most common industries among freelancers in Nuremberg, Germany who have used Python in their recent projects are Information Technology (92%), Automotive (50%), and Manufacturing (45%).
The most common business areas among freelancers in Nuremberg, Germany who have used Python in their recent projects are Information Technology (89%), Product Development (82%), and Research and Development (66%).
Main locations of FRATCH Experts, who have recently used Python
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
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Frankfurt 
Stuttgart 
Dusseldorf 
Leipzig 
Dortmund 
Essen 
Bremen 
Dresden 
Hanover Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
